Hunan Institute of Engineering

www.hnie.edu.cn/
Xiangtan, China

Hunan Institute of Engineering is located in Xiangtan, Hunan. It was founded in 1951 and is organized in 16 Schools and Departments. Wikipedia.


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Lin G.,Hunan Institute of Engineering
World Transactions on Engineering and Technology Education | Year: 2016

Methods for solving problems in the Motion Control System course are discussed in this article. To improve teaching, it was necessary to reform and innovate, from team building, to classroom and laboratory teaching and curriculum design. A problem-based teaching method was adopted, with emphasis on engineering background, integration of teaching content and updated course content. Also, the curriculum project was designed according to the CDIO method. Innovative experiment teaching content and progressive curriculum design were constructed. Experiments are classified into verification, design, comprehensive or innovative; and an experiment platform was developed. The segment the whole into parts method in curriculum design helped students to deepen understanding of teaching content and to grasp the theory and structure of a typical motor control system. After the teaching reform, students' motivation to learn was improved, practical ability was enhanced and the effectiveness of classroom teaching improved. This lays a solid foundation for those who will design, develop and maintain motion control systems. © 2016 WIETE.


Hu X.,Hunan Institute of Engineering
International Journal of Online Engineering | Year: 2017

Based on the investigation and analysis of the current status of pharmaceutical cold chain at home and abroad, this paper comes up with a solution for pharmaceutical cold chain temperature monitoring, develops an intelligent temperature recorder based on wireless sensor network technology, and makes a detailed introduction to the software and hardware implementation of the wireless sensor nodes of the recorder and the monitoring terminal. Besides, the author tests the performance of the recorder multiple times. The results show that the design basically fulfils the expected goals.


Liu D.,Hunan Institute of Engineering
International Journal of Networking and Virtual Organisations | Year: 2014

In the past few years, cloud computing has emerged as a promising paradigm for delivering IT-infrastructures, platforms, applications and services. The consolidation of this new paradigm in both commercial business and academic research requires that the underlying resources should be economically managed. In this paper, we present a resource provision framework, which is aiming at improving the energy-efficiency of cloud-based data centres. The proposed framework is implemented as a lightweight middleware, which consists of three novel services that enable cloud providers to up/down scale their virtual resource pool in an efficient manner. Extensive experiments are conducted to evaluate the effectiveness and the performance of the proposed middleware in real-world cloud platform. The results indicate that it can significantly improving the energy-efficiency in virtualised clouds without significantly degradation on application performance. Copyright © 2014 Inderscience Enterprises Ltd.


Zhang X.Z.,Hunan University | Zhang X.Z.,Hunan Institute of Engineering | Wang Y.N.,Hunan University
Energy Conversion and Management | Year: 2011

This paper presents the design and implementation of a high performance position-sensorless control scheme for the extensively used brushless DC (BLDC) motors. In the proposed method, with proper PWM strategy, instead of detecting the zero-crossing point (ZCP) of the nonexcited motor back electromagnetic force (EMF) or the average motor terminal to neutral voltage, the true zero-crossing points of back EMF are extracted directly from the difference of the specific average line-to-line voltages with simple RC circuits and comparators. In contrast to conventional methods, the neutral voltage is not needed and the diode freewheeling currents in the nonconducted phase are eliminated completely; therefore, the commutation signals are more accurate and insensitive to the common-mode noise. Moreover, 100% pulse-width-modulation (PWM) duty ratio control of BLDC motors is provided with the presented method. As a result, the proposed method makes it possible to achieve good motor performance over a wide speed range and to simplify the starting procedure. The detailed circuit model is analyzed and some experimental results obtained from a sensorless prototype are shown to verify the analysis and confirm the validity of the proposed method. © 2010 Elsevier Ltd. All rights reserved.


Zhang H.,Hunan Institute of Engineering | Hu X.,Hunan Institute of Engineering | Fu X.,Hunan Institute of Engineering
Biosensors and Bioelectronics | Year: 2014

This study reports the development of an aptamer-mediated microfluidic beads-based sensor for multiple analytes detection and quantification using multienzyme-linked nanoparticle amplification and quantum dots labels. Adenosine and cocaine were selected as the model analytes to validate the assay design based on strand displacement induced by target-aptamer complex. Microbeads functionalized with the aptamers and modified electron rich proteins were arrayed within a microfluidic channel and were connected with the horseradish peroxidases (HRP) and capture DNA probe derivative gold nanoparticles (AuNPs) via hybridization. The conformational transition of aptamer induced by target-aptamer complex contributes to the displacement of functionalized AuNPs and decreases the fluorescence signal of microbeads. In this approach, increased binding events of HRP on each nanosphere and enhanced mass transport capability inherent from microfluidics are integrated for enhancing the detection sensitivity of analytes. Based on the dual signal amplification strategy, the developed aptamer-based microfluidic bead array sensor could discriminate as low as 0.1. pM of adenosine and 0.5. pM cocaine, and showed a 500-fold increase in detection limit of adenosine compared to the off-chip test. The results proved the microfluidic-based method was a rapid and efficient system for aptamer-based targets assays (adenosine (0.1. pM) and cocaine (0.5. pM)), requiring only minimal (microliter) reagent use. This work demonstrated the successful application of aptamer-based microfluidic beads array sensor for detection of important molecules in biomedical fields. © 2014 Elsevier B.V.


Chen D.-X.,Hunan Institute of Engineering
Mathematical and Computer Modelling | Year: 2010

Several oscillation criteria are established for the second-order Emden-Fowler neutral delay dynamic equation (r (t) | xΔ (t) |λ - 1 xΔ (t))Δ + f (t, y (δ (t))) = 0 on an arbitrary time scale T, where x (t) {colon equals} y (t) + p (t) y (τ (t)) and λ > 0 is a constant. The results obtained here extend and improve some known results in the literature. Some examples illustrating our main results are also included. © 2010 Elsevier Ltd. All rights reserved.


Zhang H.,Hunan Institute of Engineering | Liu L.,Hunan Institute of Engineering | Fu X.,Hunan Institute of Engineering | Zhu Z.,Hunan Institute of Engineering
Biosensors and Bioelectronics | Year: 2013

This study reports the development of a microfluidic beads-based immunosensor for sensitive detection of cancer biomarker α-fetoprotein (AFP) that uses multienzyme-nanoparticle amplification and quantum dots labels. This method utilizes microbeads functionalized with the capture antibodies (Ab1) and modified electron rich proteins as sensing platform that was fabricated within a microfluidic channel, and uses gold nanoparticles (AuNPs) functionalized with the horseradish peroxidase (HRP) and the detection antibodies (Ab2) as label. Greatly enhanced sensitivity for the cancer biomarker is based on a dual signal amplification strategy: first, the large surface area of Au nanoparticle carrier allows several binding events of HRP on each nanosphere. Enhanced sensitivity was achieved by introducing the multi-HRP-antibody functionalized AuNPs onto the surface of microbeads through "sandwich" immunoreactions and subsequently multiple biotin moieties could be deposited onto the surface of beads resulted from the oxidation of biotin-tyramine by hydrogen peroxide. Streptavidin-labeled quantum dots were then allowed to bind to the deposited biotin moieties and displayed the signal. Secondly, enhanced mass transport capability inherent from microfluidics leads to higher capture efficiency of targets because continuous flow within micro-channel delivers fresh analyte solution to the reaction site which maintains a high concentration gradient differential to enhance mass transport. Based on the dual signal amplification strategy, the developed microfluidic bead-based immunosensor could discriminate as low as 0.2pgmL-1 AFP in 10μL of undiluted calf serum (0.2fg/chip), and showed a 500-fold increase in detection limit compared to the off-chip test and 50-fold increase in detection limit compared to microfluidic beads-based immunoassay using single label HRP-Ab2. The immunosensor showed acceptable repeatability and reproducibility. This microfluidic beads-based immunosensor is a promising platform for disease-related biomolecules at the lowest level at their earliest incidence. © 2012 Elsevier B.V.


Yu X.,Hunan Institute of Engineering
Fibers and Polymers | Year: 2010

In this study, the support vector machine (SVM), as a novel type of learning machine, for the first time, was used to construct a quantitative structure-property relationship model for the prediction of the glass transition temperatures (Tg) of 77 aromatic polyamides and polybenzimidazoles. After 1664 descriptors generation, four descriptors were selected for the SVM model by means of multiple linear regression. The best predictions were obtained with the Gaussian radical basis kernel (C=15, ε=0.01 and γ=0.5). The root mean square (rms) errors for training set, validation set and prediction set are 12.13, 15.58, and 16.22 K, respectively. Comparison to existing models, the SVM model shows better statistical characteristics. © 2010 The Korean Fiber Society and Springer Netherlands.


Chen D.-X.,Hunan Institute of Engineering
UPB Scientific Bulletin, Series A: Applied Mathematics and Physics | Year: 2013

This paper deals with the oscillatory behavior of the fractional differential equation with damping (D-1+αy)(t) - p(t)(D-alpha;y)(t) + q(t)f (∫t ∞ (v - t)-αy(v)dv) = 0 for t > 0, where D-αy is the Liouville right-sided fractional derivative of order α ∈ (0, 1) of y. We obtain some sufficient conditions for the oscillatory behavior of the equation by employing a generalized Riccati transformation technique and certain parameter functions. Examples are given to show the significance of our results. To the best of our knowledge, nothing is known regarding the oscillatory behavior of the equation, so this paper initiates the study.


Xiao P.,Hunan Institute of Engineering | Han N.,Hunan Institute of Engineering
International Journal of High Performance Computing and Networking | Year: 2014

With the development of cloud computing, energy-efficient management and control have become a major concern in the virtualisation data centres. Although many energy-conserving policies and technologies have been proposed, most of them are categorised as device/system-oriented, which mainly concentrate on low-level energy consumption optimisation. In this paper, we propose a novel application-oriented heuristic algorithm, which has the effect of saving the data-accessing energy consumption for data-intensive workflows in virtualised cloud platforms. In the proposed algorithm, a novel heuristic metric called minimal data-accessing energy path is introduced with the aim of reducing the energy consumption of intensive data-accessing. Extensive experiments are conducted to examine the effectiveness and performance of the proposed scheduling algorithm. The experimental results show that the proposed heuristic scheduling can significantly reduce the energy consumption of storing/retrieving intermediate data generated during the execution of data-intensive workflow. © 2014 Inderscience Enterprises Ltd.

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